AI Books

This online book is intended for those looking to gain an introduction into the world of user experience (UX) design or to freshen up their knowledge of the field. The author notes that the sheer number of topics covered in UX design is mind-boggling, citing interaction design, design thinking, and usability as just a few examples, which is what ma

One viable option for organizations looking to harness massive amounts of data is the data lake, a single repository for storing all the raw data, both structured and unstructured, that floods into the company. But that isn't the end of the story. The key to making a data lake work is data governance, using metadata to provide valuable context thro

This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one

NGINX is one of the most widely used web servers available today, in part because of its capabilities as a load balancer and reverse proxy server for HTTP and other network protocols. This cookbook provides easy-to-follow examples to real-world problems in application delivery. The practical recipes will help you set up and use either the open sour

This text is used in a mathematical software course at VMI that provides an introduction to Matlab and Mathcad. However, Troy Siemers also intends it to be a course book instead of an all inclusive resource. He encourages his students to take full advantage of the built-in help capabilities of these software packages, additional texts (he keeps a f

The proliferation of multicore processors in the embedded market for Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) makes developing real-time embedded applications increasingly difficult. What is the underlying theory that makes multicore real-time possible? How does theory influence application design? When is a real-time operating sys

Elements of Data Science is an introduction to the practical skills of working with data, written for people with no programming experience. Concepts are explained clearly and concisely, and exercises in each chapter demonstrate the real-world use of each feature. - Step-by-Step Approach: Learn how to execute a data science project from start to fi

The author notes that in 2019, Wi-Fi technology celebrated its 20th birthday, and it is hard to believe it has been around for 22 years. The text explains that beginning in 2021, Wi-Fi is making a massive leap into the 6 GHz frequency band. The book describes how previous generations of Wi-Fi focused on increasing data rates and speed, while Wi-Fi

Increase efficiency with ChatOps, an approach that helps IT teams collaborate and perform daily actions from a unique, turbocharged chatroom. With this 75-page report, you'll learn how your team can query information, work together on solutions, enter commands with bots and scripts, and comment on the work - all in one place and in real time. Autho

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning a